Springer Ecological and Evolutionary Modelling (SpringerBriefs in Ecology)

Ecology studies biodiversity in its variety and complexity. It describes how species distribute and perform in response to environmental changes. Ecological processes and structures are highly complex and adaptive. In order to quantify emerging ecological patterns and investigate their hidden mechanisms, we need to rely on the simplicity of mathematical language. Ecological patterns are emerging structures observed in populations, communities and ecosystems. Elucidating drivers behind ecological patterns can greatly improve our knowledge of how ecosystems assemble, function and respond to change and perturbation. Mathematical ecology has, thus, become an important interdisciplinary research field that can provide answers to complex global issues, such as climate change and biological invasions. The aim of this book is to (i) introduce key concepts in ecology and evolution, (ii) explain classic and recent important mathematical models for investigating ecological and evolutionary dynamics, and (iii) provide real examples in ecology/biology/environmental sciences that have used these models to address relevant issues. Readers are exposed to the key concepts, frameworks, and terminology in the studies of ecology and evolution, which will enable them to ask the correct and relevant research questions, and frame the questions using appropriate mathematical models. From the Back Cover Ecology studies biodiversity in its variety and complexity. It describes how species distribute and perform in response to environmental changes. Ecological processes and structures are highly complex and adaptive. In order to quantify emerging ecological patterns and investigate their hidden mechanisms, we need to rely on the simplicity of mathematical language. Ecological patterns are emerging structures observed in populations, communities and ecosystems. Elucidating drivers behind ecological patterns can greatly improve our knowledge of how ecosystems assemble, function and respond to change and perturbation. Mathematical ecology has, thus, become an important interdisciplinary research field that can provide answers to complex global issues, such as climate change and biological invasions. The aim of this book is to (i) introduce key concepts in ecology and evolution, (ii) explain classic and recent important mathematical models for investigating ecological and evolutionary dynamics, and (iii) provide real examples in ecology/biology/environmental sciences that have used these models to address relevant issues. Readers are exposed to the key concepts, frameworks, and terminology in the studies of ecology and evolution, which will enable them to ask the correct and relevant research questions, and frame the questions using appropriate mathematical models. About the Author C. Hui is a Professor of Mathematics and the South African Research Chair (SARChI) in Mathematical and Theoretical Physical Biosciences based at Stellenbosch University and the African Institute for Mathematical Sciences in South Africa. His research focuses on developing models and theories for explaining emerging patterns of biodiversity, networks, and traits in ecology and evolution. CH has published more than 190 papers and received the Elsevier Young Scientist Award in 2011. CH and David M. Richardson authored the book Invasion Dynamics (Oxford University Press). CH is a core-team member of the DST-NRF Centre of Excellence for Invasion Biology and is on the editorial board of several journals, including Biological Invasions (Springer), BMC Ecology (BioMed Central), Ecological Complexity (Elsevier), Insect Conservation and Diversity (Wiley), and Frontiers in Ecology and Evolution. P. Landi is a Postdoctoral Fellow at Stellenbosch University and Visiting Scientist at the International Institute for Applied Systems Analysis (IIASA, Austria). He received his PhD with distinction in Information and Communication Te